REPORT NFL D/ST

Dataset statistics

Number of variables	37
Number of observations	1624
Missing cells	4
Missing cells (%)	< 0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.3 MiB
Average record size in memory	835.9 B

Variable types

Categorical	24
Numeric	12
Boolean	1

Alerts

`def_two_point_conv` has constant value "0"	Constant
`game_id` has a high cardinality: 820 distinct values	High cardinality
`game_date` has a high cardinality: 174 distinct values	High cardinality
`def_int` is highly correlated with `Total_DKP` and 1 other fields	High correlation
`sacks` is highly correlated with `Total_DKP` and 1 other fields	High correlation
`Opponent_score` is highly correlated with `points_allowed_7_13` and 3 other fields	High correlation
`points_allowed_7_13` is highly correlated with `Opponent_score`	High correlation
`points_allowed_35` is highly correlated with `Opponent_score`	High correlation
`Total_DKP` is highly correlated with `def_int` and 3 other fields	High correlation
`Total_FDP` is highly correlated with `def_int` and 3 other fields	High correlation
`def_int` is highly correlated with `Total_DKP` and 1 other fields	High correlation
`sacks` is highly correlated with `Total_DKP` and 1 other fields	High correlation
`Opponent_score` is highly correlated with `points_allowed_35` and 2 other fields	High correlation
`points_allowed_35` is highly correlated with `Opponent_score`	High correlation
`Total_DKP` is highly correlated with `def_int` and 3 other fields	High correlation
`Total_FDP` is highly correlated with `def_int` and 3 other fields	High correlation
`Opponent_score` is highly correlated with `Total_DKP` and 1 other fields	High correlation
`Total_DKP` is highly correlated with `Opponent_score` and 1 other fields	High correlation
`Total_FDP` is highly correlated with `Opponent_score` and 1 other fields	High correlation
`def_two_point_conv` is highly correlated with `Roof` and 21 other fields	High correlation
`Roof` is highly correlated with `def_two_point_conv` and 1 other fields	High correlation
`def_int_td` is highly correlated with `def_two_point_conv`	High correlation
`fumbles_rec_td` is highly correlated with `def_two_point_conv`	High correlation
`home_team` is highly correlated with `def_two_point_conv` and 3 other fields	High correlation
`total_ret_td` is highly correlated with `def_two_point_conv`	High correlation
`points_allowed_14_20` is highly correlated with `def_two_point_conv`	High correlation
`blocked_kick` is highly correlated with `def_two_point_conv`	High correlation
`points_allowed_1_6` is highly correlated with `def_two_point_conv`	High correlation
`fumbles_rec` is highly correlated with `def_two_point_conv`	High correlation
`Opponent_abbrev` is highly correlated with `def_two_point_conv`	High correlation
`safety` is highly correlated with `def_two_point_conv`	High correlation
`OT` is highly correlated with `def_two_point_conv`	High correlation
`Surface` is highly correlated with `def_two_point_conv` and 1 other fields	High correlation
`Vegas_Favorite` is highly correlated with `def_two_point_conv` and 1 other fields	High correlation
`points_allowed_28_34` is highly correlated with `def_two_point_conv`	High correlation
`points_allowed_0` is highly correlated with `def_two_point_conv`	High correlation
`points_allowed_7_13` is highly correlated with `def_two_point_conv`	High correlation
`points_allowed_21_27` is highly correlated with `def_two_point_conv`	High correlation
`team` is highly correlated with `def_two_point_conv` and 1 other fields	High correlation
`points_allowed_35` is highly correlated with `def_two_point_conv`	High correlation
`Team_abbrev` is highly correlated with `def_two_point_conv` and 1 other fields	High correlation
`vis_team` is highly correlated with `def_two_point_conv`	High correlation
`team` is highly correlated with `Team_abbrev` and 6 other fields	High correlation
`def_int` is highly correlated with `def_int_td` and 2 other fields	High correlation
`def_int_td` is highly correlated with `def_int` and 2 other fields	High correlation
`sacks` is highly correlated with `Total_DKP` and 1 other fields	High correlation
`fumbles_rec` is highly correlated with `Total_DKP` and 1 other fields	High correlation
`total_ret_td` is highly correlated with `Total_DKP` and 1 other fields	High correlation
`Team_abbrev` is highly correlated with `team` and 6 other fields	High correlation
`Opponent_abbrev` is highly correlated with `team` and 6 other fields	High correlation
`Opponent_score` is highly correlated with `points_allowed_0` and 10 other fields	High correlation
`points_allowed_0` is highly correlated with `Opponent_score`	High correlation
`points_allowed_1_6` is highly correlated with `Opponent_score` and 2 other fields	High correlation
`points_allowed_7_13` is highly correlated with `Opponent_score` and 3 other fields	High correlation
`points_allowed_14_20` is highly correlated with `Opponent_score` and 2 other fields	High correlation
`points_allowed_21_27` is highly correlated with `Opponent_score` and 2 other fields	High correlation
`points_allowed_28_34` is highly correlated with `Opponent_score` and 2 other fields	High correlation
`points_allowed_35` is highly correlated with `Opponent_score` and 4 other fields	High correlation
`Total_DKP` is highly correlated with `def_int` and 9 other fields	High correlation
`Total_FDP` is highly correlated with `def_int` and 9 other fields	High correlation
`vis_team` is highly correlated with `team` and 4 other fields	High correlation
`home_team` is highly correlated with `team` and 10 other fields	High correlation
`vis_score` is highly correlated with `Opponent_score` and 5 other fields	High correlation
`home_score` is highly correlated with `Opponent_score` and 4 other fields	High correlation
`Roof` is highly correlated with `team` and 8 other fields	High correlation
`Surface` is highly correlated with `team` and 5 other fields	High correlation
`Temperature` is highly correlated with `home_team` and 4 other fields	High correlation
`Humidity` is highly correlated with `home_team` and 3 other fields	High correlation
`Wind_Speed` is highly correlated with `home_team` and 3 other fields	High correlation
`Vegas_Favorite` is highly correlated with `team` and 10 other fields	High correlation
`Over_Under` is highly correlated with `home_team` and 1 other fields	High correlation
`game_id` is uniformly distributed	Uniform
`team` is uniformly distributed	Uniform
`Team_abbrev` is uniformly distributed	Uniform
`Opponent_abbrev` is uniformly distributed	Uniform
`vis_team` is uniformly distributed	Uniform
`home_team` is uniformly distributed	Uniform
`def_int` has 761 (46.9%) zeros	Zeros
`sacks` has 203 (12.5%) zeros	Zeros
`Total_DKP` has 93 (5.7%) zeros	Zeros
`Total_FDP` has 93 (5.7%) zeros	Zeros
`Wind_Speed` has 593 (36.5%) zeros	Zeros

Reproduction

Analysis started	2022-09-02 01:43:03.763017
Analysis finished	2022-09-02 01:43:51.025942
Duration	47.26 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

game_id
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	820
Distinct (%)	50.5%
Missing	0
Missing (%)	0.0%
Memory size	109.6 KiB

201909050chi	2
202109160was	2
202109120det	2
202109120htx	2
202109120kan	2
Other values (815)	1614

Length

Max length	12
Median length	12
Mean length	12
Min length	12

Characters and Unicode

Total characters	19488
Distinct characters	34
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	1.0%

Sample

1st row	201909050chi
2nd row	201909050chi
3rd row	201909080car
4th row	201909080car
5th row	201909080cle

Common Values

Value	Count	Frequency (%)
201909050chi	2	0.1%
202109160was	2	0.1%
202109120det	2	0.1%
202109120htx	2	0.1%
202109120kan	2	0.1%
202109120nor	2	0.1%
202109120nwe	2	0.1%
202109120nyg	2	0.1%
202109120oti	2	0.1%
202109120ram	2	0.1%
Other values (810)	1604	98.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
201909050chi	2	0.1%
201909080jax	2	0.1%
201909260gnb	2	0.1%
201909290atl	2	0.1%
201909290buf	2	0.1%
201909150ram	2	0.1%
201909150oti	2	0.1%
201910200sea	2	0.1%
201909150nyg	2	0.1%
201909080cle	2	0.1%
Other values (810)	1604	98.8%

Most occurring characters

Value	Count	Frequency (%)
0	5226	26.8%
2	4008	20.6%
1	3402	17.5%
9	1005	5.2%
a	609	3.1%
n	471	2.4%
i	397	2.0%
t	356	1.8%
c	297	1.5%
r	296	1.5%
Other values (24)	3421	17.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	14616	75.0%
Lowercase Letter	4872	25.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	609	12.5%
n	471	9.7%
i	397	8.1%
t	356	7.3%
c	297	6.1%
r	296	6.1%
e	249	5.1%
d	244	5.0%
m	203	4.2%
s	201	4.1%
Other values (14)	1549	31.8%

Decimal Number

Value	Count	Frequency (%)
0	5226	35.8%
2	4008	27.4%
1	3402	23.3%
9	1005	6.9%
3	225	1.5%
7	173	1.2%
5	162	1.1%
8	155	1.1%
6	137	0.9%
4	123	0.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	14616	75.0%
Latin	4872	25.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	609	12.5%
n	471	9.7%
i	397	8.1%
t	356	7.3%
c	297	6.1%
r	296	6.1%
e	249	5.1%
d	244	5.0%
m	203	4.2%
s	201	4.1%
Other values (14)	1549	31.8%

Common

Value	Count	Frequency (%)
0	5226	35.8%
2	4008	27.4%
1	3402	23.3%
9	1005	6.9%
3	225	1.5%
7	173	1.2%
5	162	1.1%
8	155	1.1%
6	137	0.9%
4	123	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19488	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	5226	26.8%
2	4008	20.6%
1	3402	17.5%
9	1005	5.2%
a	609	3.1%
n	471	2.4%
i	397	2.0%
t	356	1.8%
c	297	1.5%
r	296	1.5%
Other values (24)	3421	17.6%

team
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	32
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	95.3 KiB

KAN	57
LAR	55
TAM	55
BUF	55
GNB	54
Other values (27)	1348

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4872
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	CHI
2nd row	GNB
3rd row	LAR
4th row	CAR
5th row	CLE

Common Values

Value	Count	Frequency (%)
KAN	57	3.5%
LAR	55	3.4%
TAM	55	3.4%
BUF	55	3.4%
GNB	54	3.3%
TEN	54	3.3%
SFO	54	3.3%
CIN	53	3.3%
NOR	52	3.2%
SEA	52	3.2%
Other values (22)	1083	66.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
kan	57	3.5%
tam	55	3.4%
buf	55	3.4%
lar	55	3.4%
gnb	54	3.3%
ten	54	3.3%
sfo	54	3.3%
cin	53	3.3%
nor	52	3.2%
sea	52	3.2%
Other values (22)	1083	66.7%

Most occurring characters

Value	Count	Frequency (%)
A	666	13.7%
N	569	11.7%
I	405	8.3%
L	340	7.0%
E	306	6.3%
T	258	5.3%
C	252	5.2%
R	240	4.9%
D	198	4.1%
B	161	3.3%
Other values (14)	1477	30.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	4872	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	666	13.7%
N	569	11.7%
I	405	8.3%
L	340	7.0%
E	306	6.3%
T	258	5.3%
C	252	5.2%
R	240	4.9%
D	198	4.1%
B	161	3.3%
Other values (14)	1477	30.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4872	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	666	13.7%
N	569	11.7%
I	405	8.3%
L	340	7.0%
E	306	6.3%
T	258	5.3%
C	252	5.2%
R	240	4.9%
D	198	4.1%
B	161	3.3%
Other values (14)	1477	30.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4872	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	666	13.7%
N	569	11.7%
I	405	8.3%
L	340	7.0%
E	306	6.3%
T	258	5.3%
C	252	5.2%
R	240	4.9%
D	198	4.1%
B	161	3.3%
Other values (14)	1477	30.3%

def_int
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	6
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.7937192118

Minimum	0
Maximum	5
Zeros	761
Zeros (%)	46.9%
Negative	0
Negative (%)	0.0%
Memory size	12.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	1
95-th percentile	3
Maximum	5
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.9340204987
Coefficient of variation (CV)	1.176764383
Kurtosis	1.466783604
Mean	0.7937192118
Median Absolute Deviation (MAD)	1
Skewness	1.24728377
Sum	1289
Variance	0.872394292
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	761	46.9%
1	555	34.2%
2	219	13.5%
3	62	3.8%
4	25	1.5%
5	2	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	761	46.9%
1	555	34.2%
2	219	13.5%
3	62	3.8%
4	25	1.5%
5	2	0.1%

Value	Count	Frequency (%)
5	2	0.1%
4	25	1.5%
3	62	3.8%
2	219	13.5%
1	555	34.2%
0	761	46.9%

def_int_td
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	92.1 KiB

0	1519
1	101
2	4

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1624
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1519	93.5%
1	101	6.2%
2	4	0.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	1519	93.5%
1	101	6.2%
2	4	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	1519	93.5%
1	101	6.2%
2	4	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1624	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1519	93.5%
1	101	6.2%
2	4	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	1624	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1519	93.5%
1	101	6.2%
2	4	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1624	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1519	93.5%
1	101	6.2%
2	4	0.2%

sacks
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	11
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.328817734

Minimum	0
Maximum	10
Zeros	203
Zeros (%)	12.5%
Negative	0
Negative (%)	0.0%
Memory size	12.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	3
95-th percentile	5
Maximum	10
Range	10
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.7280284
Coefficient of variation (CV)	0.7420195984
Kurtosis	1.055032911
Mean	2.328817734
Median Absolute Deviation (MAD)	1
Skewness	0.931505453
Sum	3782
Variance	2.98608215
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
1	387	23.8%
2	381	23.5%
3	306	18.8%
0	203	12.5%
4	165	10.2%
5	102	6.3%
6	42	2.6%
7	20	1.2%
8	10	0.6%
9	7	0.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	203	12.5%
1	387	23.8%
2	381	23.5%
3	306	18.8%
4	165	10.2%
5	102	6.3%
6	42	2.6%
7	20	1.2%
8	10	0.6%
9	7	0.4%

Value	Count	Frequency (%)
10	1	0.1%
9	7	0.4%
8	10	0.6%
7	20	1.2%
6	42	2.6%
5	102	6.3%
4	165	10.2%
3	306	18.8%
2	381	23.5%
1	387	23.8%

fumbles_rec
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	92.1 KiB

0	994
1	482
2	125
3	20
4	3

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1624
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	2
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	994	61.2%
1	482	29.7%
2	125	7.7%
3	20	1.2%
4	3	0.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	994	61.2%
1	482	29.7%
2	125	7.7%
3	20	1.2%
4	3	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	994	61.2%
1	482	29.7%
2	125	7.7%
3	20	1.2%
4	3	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1624	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	994	61.2%
1	482	29.7%
2	125	7.7%
3	20	1.2%
4	3	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	1624	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	994	61.2%
1	482	29.7%
2	125	7.7%
3	20	1.2%
4	3	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1624	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	994	61.2%
1	482	29.7%
2	125	7.7%
3	20	1.2%
4	3	0.2%

fumbles_rec_td
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	92.1 KiB

0	1550
1	73
2	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1624
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1550	95.4%
1	73	4.5%
2	1	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	1550	95.4%
1	73	4.5%
2	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	1550	95.4%
1	73	4.5%
2	1	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1624	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1550	95.4%
1	73	4.5%
2	1	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	1624	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1550	95.4%
1	73	4.5%
2	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1624	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1550	95.4%
1	73	4.5%
2	1	0.1%

blocked_kick
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	92.1 KiB

0	1561
1	59
2	4

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1624
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	1561	96.1%
1	59	3.6%
2	4	0.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	1561	96.1%
1	59	3.6%
2	4	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	1561	96.1%
1	59	3.6%
2	4	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1624	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1561	96.1%
1	59	3.6%
2	4	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	1624	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1561	96.1%
1	59	3.6%
2	4	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1624	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1561	96.1%
1	59	3.6%
2	4	0.2%

safety
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.1 KiB

0	1595
1	29

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1624
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1595	98.2%
1	29	1.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	1595	98.2%
1	29	1.8%

Most occurring characters

Value	Count	Frequency (%)
0	1595	98.2%
1	29	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1624	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1595	98.2%
1	29	1.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	1624	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1595	98.2%
1	29	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1624	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1595	98.2%
1	29	1.8%

def_two_point_conv
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.1 KiB

0	1624

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1624
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1624	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	1624	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	1624	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1624	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1624	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1624	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1624	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1624	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1624	100.0%

total_ret_td
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	92.1 KiB

0	1585
1	38
2	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1624
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1585	97.6%
1	38	2.3%
2	1	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	1585	97.6%
1	38	2.3%
2	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	1585	97.6%
1	38	2.3%
2	1	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1624	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1585	97.6%
1	38	2.3%
2	1	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	1624	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1585	97.6%
1	38	2.3%
2	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1624	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1585	97.6%
1	38	2.3%
2	1	0.1%

Team_abbrev
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	32
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	95.3 KiB

KAN	57
LAR	55
TAM	55
BUF	55
GNB	54
Other values (27)	1348

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4872
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	CHI
2nd row	GNB
3rd row	LAR
4th row	CAR
5th row	CLE

Common Values

Value	Count	Frequency (%)
KAN	57	3.5%
LAR	55	3.4%
TAM	55	3.4%
BUF	55	3.4%
GNB	54	3.3%
TEN	54	3.3%
SFO	54	3.3%
CIN	53	3.3%
NOR	52	3.2%
SEA	52	3.2%
Other values (22)	1083	66.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
kan	57	3.5%
tam	55	3.4%
buf	55	3.4%
lar	55	3.4%
gnb	54	3.3%
ten	54	3.3%
sfo	54	3.3%
cin	53	3.3%
nor	52	3.2%
sea	52	3.2%
Other values (22)	1083	66.7%

Most occurring characters

Value	Count	Frequency (%)
A	666	13.7%
N	569	11.7%
I	405	8.3%
L	340	7.0%
E	306	6.3%
T	258	5.3%
C	252	5.2%
R	240	4.9%
D	198	4.1%
B	161	3.3%
Other values (14)	1477	30.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	4872	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	666	13.7%
N	569	11.7%
I	405	8.3%
L	340	7.0%
E	306	6.3%
T	258	5.3%
C	252	5.2%
R	240	4.9%
D	198	4.1%
B	161	3.3%
Other values (14)	1477	30.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4872	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	666	13.7%
N	569	11.7%
I	405	8.3%
L	340	7.0%
E	306	6.3%
T	258	5.3%
C	252	5.2%
R	240	4.9%
D	198	4.1%
B	161	3.3%
Other values (14)	1477	30.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4872	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	666	13.7%
N	569	11.7%
I	405	8.3%
L	340	7.0%
E	306	6.3%
T	258	5.3%
C	252	5.2%
R	240	4.9%
D	198	4.1%
B	161	3.3%
Other values (14)	1477	30.3%

Opponent_abbrev
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	32
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	95.3 KiB

LAR	55
TAM	55
KAN	55
BUF	55
SFO	54
Other values (27)	1350

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4872
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	GNB
2nd row	CHI
3rd row	CAR
4th row	LAR
5th row	TEN

Common Values

Value	Count	Frequency (%)
LAR	55	3.4%
TAM	55	3.4%
KAN	55	3.4%
BUF	55	3.4%
SFO	54	3.3%
GNB	53	3.3%
TEN	53	3.3%
BAL	52	3.2%
NOR	52	3.2%
SEA	52	3.2%
Other values (22)	1088	67.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
lar	55	3.4%
kan	55	3.4%
buf	55	3.4%
tam	55	3.4%
sfo	54	3.3%
gnb	53	3.3%
ten	53	3.3%
cin	52	3.2%
sea	52	3.2%
nor	52	3.2%
Other values (22)	1088	67.0%

Most occurring characters

Value	Count	Frequency (%)
A	661	13.6%
N	559	11.5%
I	401	8.2%
L	354	7.3%
E	302	6.2%
R	256	5.3%
T	256	5.3%
C	248	5.1%
D	194	4.0%
B	160	3.3%
Other values (14)	1481	30.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	4872	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	661	13.6%
N	559	11.5%
I	401	8.2%
L	354	7.3%
E	302	6.2%
R	256	5.3%
T	256	5.3%
C	248	5.1%
D	194	4.0%
B	160	3.3%
Other values (14)	1481	30.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4872	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	661	13.6%
N	559	11.5%
I	401	8.2%
L	354	7.3%
E	302	6.2%
R	256	5.3%
T	256	5.3%
C	248	5.1%
D	194	4.0%
B	160	3.3%
Other values (14)	1481	30.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4872	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	661	13.6%
N	559	11.5%
I	401	8.2%
L	354	7.3%
E	302	6.2%
R	256	5.3%
T	256	5.3%
C	248	5.1%
D	194	4.0%
B	160	3.3%
Other values (14)	1481	30.4%

Opponent_score
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	55
Distinct (%)	3.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.5067734

Minimum	0
Maximum	59
Zeros	15
Zeros (%)	0.9%
Negative	0
Negative (%)	0.0%
Memory size	12.8 KiB

Quantile statistics

Minimum	0
5-th percentile	7
Q1	17
median	24
Q3	30
95-th percentile	41
Maximum	59
Range	59
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	10.14442611
Coefficient of variation (CV)	0.4315533203
Kurtosis	-0.1337410686
Mean	23.5067734
Median Absolute Deviation (MAD)	7
Skewness	0.1411198889
Sum	38175
Variance	102.9093811
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
17	104	6.4%
20	98	6.0%
27	95	5.8%
24	93	5.7%
31	82	5.0%
23	68	4.2%
30	68	4.2%
16	65	4.0%
10	62	3.8%
34	58	3.6%
Other values (45)	831	51.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	15	0.9%
3	31	1.9%
5	1	0.1%
6	24	1.5%
7	30	1.8%
8	1	0.1%
9	32	2.0%
10	62	3.8%
11	11	0.7%
12	14	0.9%

Value	Count	Frequency (%)
59	1	0.1%
56	2	0.1%
55	1	0.1%
54	1	0.1%
53	1	0.1%
52	1	0.1%
51	4	0.2%
50	1	0.1%
49	2	0.1%
48	5	0.3%

points_allowed_0
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.1 KiB

0	1609
1	15

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1624
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1609	99.1%
1	15	0.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	1609	99.1%
1	15	0.9%

Most occurring characters

Value	Count	Frequency (%)
0	1609	99.1%
1	15	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1624	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1609	99.1%
1	15	0.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	1624	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1609	99.1%
1	15	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1624	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1609	99.1%
1	15	0.9%

points_allowed_1_6
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.1 KiB

0	1568
1	56

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1624
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1568	96.6%
1	56	3.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	1568	96.6%
1	56	3.4%

Most occurring characters

Value	Count	Frequency (%)
0	1568	96.6%
1	56	3.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1624	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1568	96.6%
1	56	3.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	1624	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1568	96.6%
1	56	3.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1624	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1568	96.6%
1	56	3.4%

points_allowed_7_13
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.1 KiB

0	1417
1	207

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1624
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1417	87.3%
1	207	12.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	1417	87.3%
1	207	12.7%

Most occurring characters

Value	Count	Frequency (%)
0	1417	87.3%
1	207	12.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1624	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1417	87.3%
1	207	12.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	1624	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1417	87.3%
1	207	12.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1624	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1417	87.3%
1	207	12.7%

points_allowed_14_20
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.1 KiB

0	1251
1	373

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1624
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1251	77.0%
1	373	23.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	1251	77.0%
1	373	23.0%

Most occurring characters

Value	Count	Frequency (%)
0	1251	77.0%
1	373	23.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1624	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1251	77.0%
1	373	23.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1624	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1251	77.0%
1	373	23.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1624	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1251	77.0%
1	373	23.0%

points_allowed_21_27
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.1 KiB

0	1201
1	423

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1624
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1201	74.0%
1	423	26.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	1201	74.0%
1	423	26.0%

Most occurring characters

Value	Count	Frequency (%)
0	1201	74.0%
1	423	26.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1624	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1201	74.0%
1	423	26.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1624	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1201	74.0%
1	423	26.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1624	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1201	74.0%
1	423	26.0%

points_allowed_28_34
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.1 KiB

0	1287
1	337

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1624
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	1287	79.2%
1	337	20.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	1287	79.2%
1	337	20.8%

Most occurring characters

Value	Count	Frequency (%)
0	1287	79.2%
1	337	20.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1624	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1287	79.2%
1	337	20.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	1624	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1287	79.2%
1	337	20.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1624	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1287	79.2%
1	337	20.8%

points_allowed_35
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.1 KiB

0	1411
1	213

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1624
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	1411	86.9%
1	213	13.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	1411	86.9%
1	213	13.1%

Most occurring characters

Value	Count	Frequency (%)
0	1411	86.9%
1	213	13.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1624	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1411	86.9%
1	213	13.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	1624	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1411	86.9%
1	213	13.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1624	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1411	86.9%
1	213	13.1%

Total_DKP
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	36
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.193349754

Minimum	-4
Maximum	37
Zeros	93
Zeros (%)	5.7%
Negative	150
Negative (%)	9.2%
Memory size	12.8 KiB

Quantile statistics

Minimum	-4
5-th percentile	-2
Q1	2
median	5
Q3	9
95-th percentile	17.85
Maximum	37
Range	41
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	5.908800009
Coefficient of variation (CV)	0.954055599
Kurtosis	1.235607868
Mean	6.193349754
Median Absolute Deviation (MAD)	3
Skewness	0.941563292
Sum	10058
Variance	34.91391755
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=36)

Value	Count	Frequency (%)
5	142	8.7%
3	135	8.3%
4	130	8.0%
2	123	7.6%
6	104	6.4%
7	102	6.3%
0	93	5.7%
1	92	5.7%
9	85	5.2%
8	82	5.0%
Other values (26)	536	33.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-4	31	1.9%
-3	26	1.6%
-2	29	1.8%
-1	64	3.9%
0	93	5.7%
1	92	5.7%
2	123	7.6%
3	135	8.3%
4	130	8.0%
5	142	8.7%

Value	Count	Frequency (%)
37	1	0.1%
35	1	0.1%
30	1	0.1%
28	2	0.1%
27	1	0.1%
26	3	0.2%
25	2	0.1%
24	6	0.4%
23	6	0.4%
22	4	0.2%

Total_FDP
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	36
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.193349754

Minimum	-4
Maximum	37
Zeros	93
Zeros (%)	5.7%
Negative	150
Negative (%)	9.2%
Memory size	12.8 KiB

Quantile statistics

Minimum	-4
5-th percentile	-2
Q1	2
median	5
Q3	9
95-th percentile	17.85
Maximum	37
Range	41
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	5.908800009
Coefficient of variation (CV)	0.954055599
Kurtosis	1.235607868
Mean	6.193349754
Median Absolute Deviation (MAD)	3
Skewness	0.941563292
Sum	10058
Variance	34.91391755
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=36)

Value	Count	Frequency (%)
5	142	8.7%
3	135	8.3%
4	130	8.0%
2	123	7.6%
6	104	6.4%
7	102	6.3%
0	93	5.7%
1	92	5.7%
9	85	5.2%
8	82	5.0%
Other values (26)	536	33.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-4	31	1.9%
-3	26	1.6%
-2	29	1.8%
-1	64	3.9%
0	93	5.7%
1	92	5.7%
2	123	7.6%
3	135	8.3%
4	130	8.0%
5	142	8.7%

Value	Count	Frequency (%)
37	1	0.1%
35	1	0.1%
30	1	0.1%
28	2	0.1%
27	1	0.1%
26	3	0.2%
25	2	0.1%
24	6	0.4%
23	6	0.4%
22	4	0.2%

vis_team
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	32
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	95.3 KiB

TAM	58
LAR	58
SFO	56
SEA	54
MIN	54
Other values (27)	1344

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4872
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	GNB
2nd row	GNB
3rd row	LAR
4th row	LAR
5th row	TEN

Common Values

Value	Count	Frequency (%)
TAM	58	3.6%
LAR	58	3.6%
SFO	56	3.4%
SEA	54	3.3%
MIN	54	3.3%
BUF	54	3.3%
TEN	53	3.3%
CLE	52	3.2%
ARI	52	3.2%
PHI	52	3.2%
Other values (22)	1081	66.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
tam	58	3.6%
lar	58	3.6%
sfo	56	3.4%
sea	54	3.3%
min	54	3.3%
buf	54	3.3%
ten	53	3.3%
gnb	52	3.2%
bal	52	3.2%
phi	52	3.2%
Other values (22)	1081	66.6%

Most occurring characters

Value	Count	Frequency (%)
A	663	13.6%
N	552	11.3%
I	408	8.4%
L	351	7.2%
E	305	6.3%
T	260	5.3%
R	252	5.2%
C	251	5.2%
D	196	4.0%
M	160	3.3%
Other values (14)	1474	30.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	4872	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	663	13.6%
N	552	11.3%
I	408	8.4%
L	351	7.2%
E	305	6.3%
T	260	5.3%
R	252	5.2%
C	251	5.2%
D	196	4.0%
M	160	3.3%
Other values (14)	1474	30.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4872	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	663	13.6%
N	552	11.3%
I	408	8.4%
L	351	7.2%
E	305	6.3%
T	260	5.3%
R	252	5.2%
C	251	5.2%
D	196	4.0%
M	160	3.3%
Other values (14)	1474	30.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4872	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	663	13.6%
N	552	11.3%
I	408	8.4%
L	351	7.2%
E	305	6.3%
T	260	5.3%
R	252	5.2%
C	251	5.2%
D	196	4.0%
M	160	3.3%
Other values (14)	1474	30.3%

home_team
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	32
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	95.3 KiB

KAN	65
BUF	56
GNB	55
TEN	54
CIN	54
Other values (27)	1340

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4872
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	CHI
2nd row	CHI
3rd row	CAR
4th row	CAR
5th row	CLE

Common Values

Value	Count	Frequency (%)
KAN	65	4.0%
BUF	56	3.4%
GNB	55	3.4%
TEN	54	3.3%
CIN	54	3.3%
NOR	54	3.3%
PIT	52	3.2%
LAR	52	3.2%
BAL	52	3.2%
TAM	52	3.2%
Other values (22)	1078	66.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
kan	65	4.0%
buf	56	3.4%
gnb	55	3.4%
ten	54	3.3%
cin	54	3.3%
nor	54	3.3%
pit	52	3.2%
lar	52	3.2%
bal	52	3.2%
tam	52	3.2%
Other values (22)	1078	66.4%

Most occurring characters

Value	Count	Frequency (%)
A	664	13.6%
N	576	11.8%
I	398	8.2%
L	343	7.0%
E	303	6.2%
T	254	5.2%
C	249	5.1%
R	244	5.0%
D	196	4.0%
B	163	3.3%
Other values (14)	1482	30.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	4872	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	664	13.6%
N	576	11.8%
I	398	8.2%
L	343	7.0%
E	303	6.2%
T	254	5.2%
C	249	5.1%
R	244	5.0%
D	196	4.0%
B	163	3.3%
Other values (14)	1482	30.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4872	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	664	13.6%
N	576	11.8%
I	398	8.2%
L	343	7.0%
E	303	6.2%
T	254	5.2%
C	249	5.1%
R	244	5.0%
D	196	4.0%
B	163	3.3%
Other values (14)	1482	30.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4872	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	664	13.6%
N	576	11.8%
I	398	8.2%
L	343	7.0%
E	303	6.2%
T	254	5.2%
C	249	5.1%
R	244	5.0%
D	196	4.0%
B	163	3.3%
Other values (14)	1482	30.4%

vis_score
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	50
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.22105911

Minimum	0
Maximum	59
Zeros	14
Zeros (%)	0.9%
Negative	0
Negative (%)	0.0%
Memory size	12.8 KiB

Quantile statistics

Minimum	0
5-th percentile	7
Q1	16
median	23
Q3	30
95-th percentile	41
Maximum	59
Range	59
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	10.18369905
Coefficient of variation (CV)	0.4385544603
Kurtosis	-0.2447490376
Mean	23.22105911
Median Absolute Deviation (MAD)	7
Skewness	0.09173502736
Sum	37711
Variance	103.7077263
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
17	106	6.5%
27	92	5.7%
31	91	5.6%
20	91	5.6%
30	78	4.8%
24	75	4.6%
23	66	4.1%
16	65	4.0%
21	63	3.9%
10	61	3.8%
Other values (40)	836	51.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	14	0.9%
3	39	2.4%
5	2	0.1%
6	20	1.2%
7	38	2.3%
8	2	0.1%
9	41	2.5%
10	61	3.8%
11	12	0.7%
12	16	1.0%

Value	Count	Frequency (%)
59	2	0.1%
55	2	0.1%
51	2	0.1%
49	4	0.2%
48	6	0.4%
47	4	0.2%
46	2	0.1%
45	12	0.7%
44	4	0.2%
43	10	0.6%

home_score
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	50
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.85775862

Minimum	0
Maximum	56
Zeros	16
Zeros (%)	1.0%
Negative	0
Negative (%)	0.0%
Memory size	12.8 KiB

Quantile statistics

Minimum	0
5-th percentile	7
Q1	17
median	24
Q3	31
95-th percentile	41
Maximum	56
Range	56
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	10.10597397
Coefficient of variation (CV)	0.4235927664
Kurtosis	-0.04338186116
Mean	23.85775862
Median Absolute Deviation (MAD)	7
Skewness	0.1922704308
Sum	38745
Variance	102.1307099
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
24	109	6.7%
20	106	6.5%
17	102	6.3%
27	99	6.1%
31	71	4.4%
23	70	4.3%
13	70	4.3%
16	66	4.1%
34	64	3.9%
10	63	3.9%
Other values (40)	804	49.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	16	1.0%
3	22	1.4%
6	28	1.7%
7	22	1.4%
9	22	1.4%
10	63	3.9%
11	10	0.6%
12	12	0.7%
13	70	4.3%
14	28	1.7%

Value	Count	Frequency (%)
56	4	0.2%
54	2	0.1%
53	2	0.1%
52	2	0.1%
51	6	0.4%
50	2	0.1%
48	4	0.2%
47	6	0.4%
46	4	0.2%
45	8	0.5%

OT
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

False	1536
True	88

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	1536	94.6%
True	88	5.4%

Roof
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	106.3 KiB

outdoors	1121
dome	253
retractable roof (closed)	218
retractable roof (open)	32

Length

Max length	25
Median length	8
Mean length	9.954433498
Min length	4

Characters and Unicode

Total characters	16166
Distinct characters	18
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	outdoors
2nd row	outdoors
3rd row	outdoors
4th row	outdoors
5th row	outdoors

Common Values

Value	Count	Frequency (%)
outdoors	1121	69.0%
dome	253	15.6%
retractable roof (closed)	218	13.4%
retractable roof (open)	32	2.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
outdoors	1121	52.8%
dome	253	11.9%
retractable	250	11.8%
roof	250	11.8%
closed	218	10.3%
open	32	1.5%

Most occurring characters

Value	Count	Frequency (%)
o	4366	27.0%
r	1871	11.6%
t	1621	10.0%
d	1592	9.8%
s	1339	8.3%
u	1121	6.9%
e	1003	6.2%
	500	3.1%
a	500	3.1%
l	468	2.9%
Other values (8)	1785	11.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15166	93.8%
Space Separator	500	3.1%
Open Punctuation	250	1.5%
Close Punctuation	250	1.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	4366	28.8%
r	1871	12.3%
t	1621	10.7%
d	1592	10.5%
s	1339	8.8%
u	1121	7.4%
e	1003	6.6%
a	500	3.3%
l	468	3.1%
c	468	3.1%
Other values (5)	817	5.4%

Space Separator

Value	Count	Frequency (%)
	500	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	250	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	250	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15166	93.8%
Common	1000	6.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	4366	28.8%
r	1871	12.3%
t	1621	10.7%
d	1592	10.5%
s	1339	8.8%
u	1121	7.4%
e	1003	6.6%
a	500	3.3%
l	468	3.1%
c	468	3.1%
Other values (5)	817	5.4%

Common

Value	Count	Frequency (%)
	500	50.0%
(	250	25.0%
)	250	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16166	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	4366	27.0%
r	1871	11.6%
t	1621	10.0%
d	1592	9.8%
s	1339	8.3%
u	1121	6.9%
e	1003	6.2%
	500	3.1%
a	500	3.1%
l	468	2.9%
Other values (8)	1785	11.0%

Surface
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	101.4 KiB

grass	729
grass	252
fieldturf	185
fieldturf	175
astroturf	112
Other values (3)	171

Length

Max length	10
Median length	9
Mean length	6.871305419
Min length	5

Characters and Unicode

Total characters	11159
Distinct characters	17
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	grass
2nd row	grass
3rd row	grass
4th row	grass
5th row	grass

Common Values

Value	Count	Frequency (%)
grass	729	44.9%
grass	252	15.5%
fieldturf	185	11.4%
fieldturf	175	10.8%
astroturf	112	6.9%
matrixturf	90	5.5%
sportturf	61	3.8%
a_turf	20	1.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
grass	981	60.4%
fieldturf	360	22.2%
astroturf	112	6.9%
matrixturf	90	5.5%
sportturf	61	3.8%
a_turf	20	1.2%

Most occurring characters

Value	Count	Frequency (%)
s	2135	19.1%
r	1887	16.9%
a	1203	10.8%
f	1003	9.0%
g	981	8.8%
t	906	8.1%
u	643	5.8%
i	450	4.0%
	437	3.9%
l	360	3.2%
Other values (7)	1154	10.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10702	95.9%
Space Separator	437	3.9%
Connector Punctuation	20	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	2135	19.9%
r	1887	17.6%
a	1203	11.2%
f	1003	9.4%
g	981	9.2%
t	906	8.5%
u	643	6.0%
i	450	4.2%
l	360	3.4%
d	360	3.4%
Other values (5)	774	7.2%

Space Separator

Value	Count	Frequency (%)
	437	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	20	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	10702	95.9%
Common	457	4.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	2135	19.9%
r	1887	17.6%
a	1203	11.2%
f	1003	9.4%
g	981	9.2%
t	906	8.5%
u	643	6.0%
i	450	4.2%
l	360	3.4%
d	360	3.4%
Other values (5)	774	7.2%

Common

Value	Count	Frequency (%)
	437	95.6%
_	20	4.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11159	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	2135	19.1%
r	1887	16.9%
a	1203	10.8%
f	1003	9.0%
g	981	8.8%
t	906	8.1%
u	643	5.8%
i	450	4.0%
	437	3.9%
l	360	3.2%
Other values (7)	1154	10.3%

Temperature
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	73
Distinct (%)	4.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	62.84913793

Minimum	7
Maximum	93
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.8 KiB

Quantile statistics

Minimum	7
5-th percentile	35
Q1	52
median	72
Q3	72
95-th percentile	82
Maximum	93
Range	86
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	15.29407842
Coefficient of variation (CV)	0.2433458743
Kurtosis	-0.1102710526
Mean	62.84913793
Median Absolute Deviation (MAD)	8
Skewness	-0.7729285215
Sum	102067
Variance	233.9088347
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
72	551	33.9%
48	34	2.1%
52	32	2.0%
81	30	1.8%
54	29	1.8%
43	27	1.7%
76	27	1.7%
46	26	1.6%
77	26	1.6%
64	25	1.5%
Other values (63)	817	50.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
7	2	0.1%
11	4	0.2%
14	2	0.1%
15	2	0.1%
23	2	0.1%
24	2	0.1%
25	6	0.4%
26	2	0.1%
28	2	0.1%
29	2	0.1%

Value	Count	Frequency (%)
93	4	0.2%
91	4	0.2%
90	2	0.1%
89	2	0.1%
88	8	0.5%
87	14	0.9%
86	8	0.5%
85	18	1.1%
84	6	0.4%
83	14	0.9%

Humidity
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	85
Distinct (%)	5.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	55.68965517

Minimum	0
Maximum	100
Zeros	2
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	12.8 KiB

Quantile statistics

Minimum	0
5-th percentile	35
Q1	45
median	48
Q3	68
95-th percentile	88
Maximum	100
Range	100
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	17.05183259
Coefficient of variation (CV)	0.3061938979
Kurtosis	0.01068381292
Mean	55.68965517
Median Absolute Deviation (MAD)	8
Skewness	0.4094830317
Sum	90440
Variance	290.7649946
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
45	545	33.6%
56	34	2.1%
46	30	1.8%
52	29	1.8%
58	28	1.7%
66	27	1.7%
67	26	1.6%
60	26	1.6%
57	24	1.5%
59	24	1.5%
Other values (75)	831	51.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2	0.1%
7	2	0.1%
8	2	0.1%
9	4	0.2%
10	2	0.1%
11	2	0.1%
12	2	0.1%
13	2	0.1%
14	6	0.4%
19	4	0.2%

Value	Count	Frequency (%)
100	4	0.2%
99	4	0.2%
97	2	0.1%
95	2	0.1%
94	4	0.2%
93	13	0.8%
92	10	0.6%
91	14	0.9%
90	12	0.7%
89	12	0.7%

Wind_Speed
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	28
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.810960591

Minimum	0
Maximum	35
Zeros	593
Zeros (%)	36.5%
Negative	0
Negative (%)	0.0%
Memory size	12.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	5
Q3	10
95-th percentile	17
Maximum	35
Range	35
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	5.987714106
Coefficient of variation (CV)	1.030417263
Kurtosis	0.5066192504
Mean	5.810960591
Median Absolute Deviation (MAD)	5
Skewness	0.9168486972
Sum	9437
Variance	35.85272021
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
0	593	36.5%
8	110	6.8%
7	95	5.8%
4	88	5.4%
6	83	5.1%
5	71	4.4%
9	67	4.1%
10	63	3.9%
12	61	3.8%
11	60	3.7%
Other values (18)	333	20.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	593	36.5%
1	24	1.5%
2	32	2.0%
3	46	2.8%
4	88	5.4%
5	71	4.4%
6	83	5.1%
7	95	5.8%
8	110	6.8%
9	67	4.1%

Value	Count	Frequency (%)
35	2	0.1%
27	2	0.1%
25	2	0.1%
24	4	0.2%
23	8	0.5%
22	8	0.5%
21	6	0.4%
20	5	0.3%
19	24	1.5%
18	12	0.7%

Vegas_Line
Real number (ℝ)

Distinct	39
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-5.678263547

Minimum	-22
Maximum	0
Zeros	4
Zeros (%)	0.2%
Negative	1620
Negative (%)	99.8%
Memory size	12.8 KiB

Quantile statistics

Minimum	-22
5-th percentile	-13
Q1	-7.5
median	-4.5
Q3	-3
95-th percentile	-1
Maximum	0
Range	22
Interquartile range (IQR)	4.5

Descriptive statistics

Standard deviation	3.708588781
Coefficient of variation (CV)	-0.6531202278
Kurtosis	1.355280922
Mean	-5.678263547
Median Absolute Deviation (MAD)	2
Skewness	-1.180621045
Sum	-9221.5
Variance	13.75363075
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
-3	214	13.2%
-3.5	165	10.2%
-7	112	6.9%
-2.5	111	6.8%
-1	101	6.2%
-4	90	5.5%
-7.5	85	5.2%
-6.5	77	4.7%
-6	72	4.4%
-5.5	67	4.1%
Other values (29)	530	32.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-22	2	0.1%
-20.5	2	0.1%
-20	2	0.1%
-18	4	0.2%
-17.5	6	0.4%
-17	6	0.4%
-16.5	12	0.7%
-16	2	0.1%
-15.5	4	0.2%
-15	4	0.2%

Value	Count	Frequency (%)
0	4	0.2%
-1	101	6.2%
-1.5	48	3.0%
-2	40	2.5%
-2.5	111	6.8%
-3	214	13.2%
-3.5	165	10.2%
-4	90	5.5%
-4.5	46	2.8%
-5	51	3.1%

Vegas_Favorite
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	33
Distinct (%)	2.0%
Missing	4
Missing (%)	0.2%
Memory size	95.3 KiB

KAN	102
LAR	86
GNB	83
TAM	80
BAL	78
Other values (28)	1191

Length

Max length	19
Median length	3
Mean length	3.059259259
Min length	3

Characters and Unicode

Total characters	4956
Distinct characters	34
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	CHI
2nd row	CHI
3rd row	LAR
4th row	LAR
5th row	CLE

Common Values

Value	Count	Frequency (%)
KAN	102	6.3%
LAR	86	5.3%
GNB	83	5.1%
TAM	80	4.9%
BAL	78	4.8%
NWE	74	4.6%
NOR	72	4.4%
DAL	72	4.4%
SFO	70	4.3%
BUF	70	4.3%
Other values (23)	833	51.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
kan	102	6.2%
lar	86	5.3%
gnb	83	5.1%
tam	80	4.9%
bal	78	4.8%
nwe	74	4.5%
nor	72	4.4%
dal	72	4.4%
buf	70	4.3%
sfo	70	4.3%
Other values (25)	845	51.8%

Most occurring characters

Value	Count	Frequency (%)
A	716	14.4%
N	592	11.9%
L	420	8.5%
I	349	7.0%
E	313	6.3%
R	282	5.7%
T	239	4.8%
B	231	4.7%
C	217	4.4%
O	177	3.6%
Other values (24)	1420	28.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	4872	98.3%
Lowercase Letter	60	1.2%
Space Separator	12	0.2%
Connector Punctuation	6	0.1%
Dash Punctuation	6	0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	716	14.7%
N	592	12.2%
L	420	8.6%
I	349	7.2%
E	313	6.4%
R	282	5.8%
T	239	4.9%
B	231	4.7%
C	217	4.5%
O	177	3.6%
Other values (14)	1336	27.4%

Lowercase Letter

Value	Count	Frequency (%)
a	12	20.0%
b	12	20.0%
e	12	20.0%
t	6	10.0%
v	6	10.0%
r	6	10.0%
m	6	10.0%

Space Separator

Value	Count	Frequency (%)
	12	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	6	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4932	99.5%
Common	24	0.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	716	14.5%
N	592	12.0%
L	420	8.5%
I	349	7.1%
E	313	6.3%
R	282	5.7%
T	239	4.8%
B	231	4.7%
C	217	4.4%
O	177	3.6%
Other values (21)	1396	28.3%

Common

Value	Count	Frequency (%)
	12	50.0%
_	6	25.0%
-	6	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4956	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	716	14.4%
N	592	11.9%
L	420	8.5%
I	349	7.0%
E	313	6.3%
R	282	5.7%
T	239	4.8%
B	231	4.7%
C	217	4.4%
O	177	3.6%
Other values (24)	1420	28.7%

Over_Under
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	44
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	46.59421182

Minimum	35
Maximum	58
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.8 KiB

Quantile statistics

Minimum	35
5-th percentile	40
Q1	43.5
median	46.5
Q3	49.5
95-th percentile	54.5
Maximum	58
Range	23
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	4.261954344
Coefficient of variation (CV)	0.09146960915
Kurtosis	-0.2980141878
Mean	46.59421182
Median Absolute Deviation (MAD)	3
Skewness	0.1285469793
Sum	75669
Variance	18.16425483
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
44	94	5.8%
47	88	5.4%
48	76	4.7%
46.5	74	4.6%
46	73	4.5%
49	71	4.4%
45	70	4.3%
43	69	4.2%
44.5	66	4.1%
49.5	63	3.9%
Other values (34)	880	54.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
35	2	0.1%
36.5	8	0.5%
37	14	0.9%
37.5	12	0.7%
38	8	0.5%
38.5	6	0.4%
39	10	0.6%
39.5	17	1.0%
40	16	1.0%
40.5	14	0.9%

Value	Count	Frequency (%)
58	2	0.1%
57.5	2	0.1%
56.5	12	0.7%
56	4	0.2%
55.5	20	1.2%
55	22	1.4%
54.5	28	1.7%
54	16	1.0%
53.5	19	1.2%
53	12	0.7%

game_date
Categorical

HIGH CARDINALITY

Distinct	174
Distinct (%)	10.7%
Missing	0
Missing (%)	0.0%
Memory size	106.4 KiB

2021-01-03	32
2019-12-29	31
2022-01-02	30
2021-09-12	28
2021-10-03	28
Other values (169)	1475

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	16240
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	2019-09-05
2nd row	2019-09-05
3rd row	2019-09-08
4th row	2019-09-08
5th row	2019-09-08

Common Values

Value	Count	Frequency (%)
2021-01-03	32	2.0%
2019-12-29	31	1.9%
2022-01-02	30	1.8%
2021-09-12	28	1.7%
2021-10-03	28	1.7%
2020-09-20	28	1.7%
2020-09-27	28	1.7%
2022-01-09	28	1.7%
2021-10-10	28	1.7%
2020-12-13	28	1.7%
Other values (164)	1335	82.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2021-01-03	32	2.0%
2019-12-29	31	1.9%
2022-01-02	30	1.8%
2021-09-12	28	1.7%
2021-10-03	28	1.7%
2020-09-20	28	1.7%
2020-09-27	28	1.7%
2022-01-09	28	1.7%
2021-10-10	28	1.7%
2020-12-13	28	1.7%
Other values (164)	1335	82.2%

Most occurring characters

Value	Count	Frequency (%)
2	4008	24.7%
0	3602	22.2%
1	3402	20.9%
-	3248	20.0%
9	1005	6.2%
3	225	1.4%
7	173	1.1%
5	162	1.0%
8	155	1.0%
6	137	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12992	80.0%
Dash Punctuation	3248	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	4008	30.8%
0	3602	27.7%
1	3402	26.2%
9	1005	7.7%
3	225	1.7%
7	173	1.3%
5	162	1.2%
8	155	1.2%
6	137	1.1%
4	123	0.9%

Dash Punctuation

Value	Count	Frequency (%)
-	3248	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	16240	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	4008	24.7%
0	3602	22.2%
1	3402	20.9%
-	3248	20.0%
9	1005	6.2%
3	225	1.4%
7	173	1.1%
5	162	1.0%
8	155	1.0%
6	137	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16240	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	4008	24.7%
0	3602	22.2%
1	3402	20.9%
-	3248	20.0%
9	1005	6.2%
3	225	1.4%
7	173	1.1%
5	162	1.0%
8	155	1.0%
6	137	0.8%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	game_id	team	def_int	def_int_td	sacks	fumbles_rec	blocked_kick	safety	Team_abbrev	Opponent_abbrev	Opponent_score	points_allowed_1_6	points_allowed_7_13	points_allowed_14_20	points_allowed_21_27	points_allowed_28_34	points_allowed_35	Total_DKP	Total_FDP	vis_team	home_team	vis_score	home_score	OT	Roof	Surface	Temperature	Humidity	Wind_Speed	Vegas_Line	Vegas_Favorite	Over_Under	game_date
0	201909050chi	CHI	0	0	5	0	0	0	CHI	GNB	10	0	1	0	0	0	0	9	9	GNB	CHI	10	3	False	outdoors	grass	65	69	10	-3.5	CHI	47.0	2019-09-05
1	201909050chi	GNB	1	0	5	0	0	0	GNB	CHI	3	1	0	0	0	0	0	14	14	GNB	CHI	10	3	False	outdoors	grass	65	69	10	-3.5	CHI	47.0	2019-09-05
2	201909080car	LAR	1	0	3	2	0	0	LAR	CAR	27	0	0	0	1	0	0	9	9	LAR	CAR	30	27	False	outdoors	grass	87	53	3	-1.5	LAR	49.5	2019-09-08
3	201909080car	CAR	1	0	1	0	1	0	CAR	LAR	30	0	0	0	0	1	0	4	4	LAR	CAR	30	27	False	outdoors	grass	87	53	3	-1.5	LAR	49.5	2019-09-08
4	201909080cle	CLE	0	0	4	0	0	0	CLE	TEN	43	0	0	0	0	0	1	0	0	TEN	CLE	43	13	False	outdoors	grass	71	55	10	-5.5	CLE	44.0	2019-09-08
5	201909080cle	TEN	3	1	5	0	0	1	TEN	CLE	13	0	1	0	0	0	0	23	23	TEN	CLE	43	13	False	outdoors	grass	71	55	10	-5.5	CLE	44.0	2019-09-08
6	201909080crd	DET	1	0	5	0	0	0	DET	ARI	27	0	0	0	1	0	0	7	7	DET	ARI	27	27	True	retractable roof (closed)	grass	72	45	0	-2.5	DET	45.5	2019-09-08
7	201909080crd	ARI	0	0	3	1	0	0	ARI	DET	27	0	0	0	1	0	0	5	5	DET	ARI	27	27	True	retractable roof (closed)	grass	72	45	0	-2.5	DET	45.5	2019-09-08
8	201909080dal	DAL	0	0	1	2	0	0	DAL	NYG	17	0	0	1	0	0	0	6	6	NYG	DAL	17	35	False	retractable roof (closed)	fieldturf	72	45	0	-7.0	DAL	44.0	2019-09-08
9	201909080dal	NYG	0	0	0	0	0	0	NYG	DAL	35	0	0	0	0	0	1	-4	-4	NYG	DAL	17	35	False	retractable roof (closed)	fieldturf	72	45	0	-7.0	DAL	44.0	2019-09-08

Last rows

	game_id	team	def_int	sacks	fumbles_rec	Team_abbrev	Opponent_abbrev	Opponent_score	points_allowed_14_20	points_allowed_21_27	points_allowed_28_34	points_allowed_35	Total_DKP	Total_FDP	vis_team	home_team	vis_score	home_score	OT	Roof	Surface	Temperature	Humidity	Wind_Speed	Vegas_Line	Vegas_Favorite	Over_Under	game_date
1614	202201230kan	BUF	0	2	0	BUF	KAN	42	0	0	0	1	-2	-2	BUF	KAN	36	42	True	outdoors	grass	35	54	6	-2.0	KAN	54.5	2022-01-23
1615	202201230kan	KAN	0	2	0	KAN	BUF	36	0	0	0	1	-2	-2	BUF	KAN	36	42	True	outdoors	grass	35	54	6	-2.0	KAN	54.5	2022-01-23
1616	202201230tam	LAR	1	3	1	LAR	TAM	27	0	1	0	0	7	7	LAR	TAM	30	27	False	outdoors	grass	50	69	11	-3.0	TAM	48.0	2022-01-23
1617	202201230tam	TAM	0	2	3	TAM	LAR	30	0	0	1	0	7	7	LAR	TAM	30	27	False	outdoors	grass	50	69	11	-3.0	TAM	48.0	2022-01-23
1618	202201300kan	CIN	2	4	0	CIN	KAN	24	0	1	0	0	8	8	CIN	KAN	27	24	True	outdoors	grass	41	41	4	-7.0	KAN	55.0	2022-01-30
1619	202201300kan	KAN	1	1	0	KAN	CIN	27	0	1	0	0	3	3	CIN	KAN	27	24	True	outdoors	grass	41	41	4	-7.0	KAN	55.0	2022-01-30
1620	202201300ram	LAR	1	0	0	LAR	SFO	17	1	0	0	0	3	3	SFO	LAR	17	20	False	dome	matrixturf	72	45	0	-3.5	LAR	46.0	2022-01-30
1621	202201300ram	SFO	1	2	0	SFO	LAR	20	1	0	0	0	5	5	SFO	LAR	17	20	False	dome	matrixturf	72	45	0	-3.5	LAR	46.0	2022-01-30
1622	202202130cin	CIN	2	2	0	CIN	LAR	23	0	1	0	0	6	6	LAR	CIN	23	20	False	dome	matrixturf	72	45	0	-4.0	LAR	48.5	2022-02-13
1623	202202130cin	LAR	0	7	0	LAR	CIN	20	1	0	0	0	8	8	LAR	CIN	23	20	False	dome	matrixturf	72	45	0	-4.0	LAR	48.5	2022-02-13

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII